Erik L. Ridley[email protected]ISFollow-up system helps ensure workup of incidental findingsTuesday, November 27 | 9:40 a.m.-9:50 a.m. | RC327-04 | Room N229In this talk, researchers from Boston will describe how they used RIS and electronic medical record searches to track follow-up on radiologist recommendations for incidental findings.November 7, 2018ISInitiative confirms documentation of dose reductionMonday, November 26 | 12:45 p.m.-1:15 p.m. | QI008-EB-MOB | Lakeside, QR Community, Hardcopy BackboardIn this poster presentation, researchers from MedStar Health will discuss how automated evaluation of CT reports has helped ensure documentation of an enterprise-wide dose reduction program.November 7, 2018ISBlockchain has both potential and shortcomings in radiologySunday, November 25 | 1:00 p.m.-1:30 p.m. | IN141-ED-SUB1 | Lakeside, IN Community, Station 1Blockchain technology shows promise for a number of radiology applications, but it also has important limitations, according to this poster presentation.November 7, 2018ISCDS initiative cuts duplicative abdominal ultrasoundsSunday, November 25 | 12:30 p.m.-1:00 p.m. | QI102-ED-SUA6 | Lakeside, QR Community, Station 6Researchers from Baltimore will share in this poster presentation how a clinical decision-support (CDS) initiative led to fewer unnecessary abdominal ultrasound exams.November 7, 2018ISStructured reporting system enhances report qualitySunday, November 25 | 12:30 p.m.-1:00 p.m. | IN009-EC-SUA | Lakeside, IN Community, Custom Application Computer DemonstrationIn this poster presentation, researchers from Texas will detail how their multimedia structured reporting software can help radiologists produce better reports.November 7, 2018ISInterventional radiologists offer wisdom on reportingSunday, November 25 | 12:30 p.m.-1:00 p.m. | IN140-ED-SUA1 | Lakeside, IN Community, Station 1Interventional radiologists have a unique perspective on radiology reporting that could benefit diagnostic radiologists, according to this poster presentation.November 7, 2018AIHow well does imaging AI perform in the real world?Artificial intelligence (AI) algorithms can yield impressive results when tested on images similar to those used in their training. But how well do they do on images acquired at other hospitals and on different patient populations? Not always as well, according to research published online November 6 in PLOS Medicine.November 6, 2018Nuclear MedicineDeep-learning algorithm predicts Alzheimer's diseaseBy learning to identify the metabolic patterns of Alzheimer's disease, a deep-learning algorithm for brain FDG-PET studies can accurately predict the onset of this devastating disease years before a clinical diagnosis can be made, according to new research published online in Radiology.November 6, 2018UltrasoundAI algorithm could decrease number of thyroid biopsiesSunday, November 25 | 10:55 a.m.-11:05 a.m. | SSA12-02 | Room S406BIn this presentation, researchers will describe how the use of an artificial intelligence (AI) algorithm could obviate the need for many biopsies performed on thyroid nodules.November 4, 2018CTAI taps prognostic power of CT lung cancer screeningMonday, November 26 | 10:30 a.m.-10:40 a.m. | SSC03-01 | Room E451ABy analyzing CT lung cancer screening exams, an artificial intelligence (AI) algorithm can predict the likelihood of five other major diseases, researchers from California will report in this presentation.October 31, 2018Previous PagePage 94 of 393Next PageTop StoriesCTNew benchmark helps monitor cumulative CT radiation doseThe findings highlight the need for systematic dose tracking and rigorous justification of imaging.Radiation Oncology/TherapyStudy questions routine use of radiotherapy after bone surgeryUltrasoundCEUS outshines color Doppler imaging for indeterminate kidney lesionsWomens ImagingWomen's Imaging MinnieCast, Episode 2: Risk-based vs. annual mammography screening, part 1Digital X-RayChest x-rays reveal atherosclerosis in patients undergoing amputations
